Identification of Autism Based on SVM-RFE and Stacked Sparse Auto-Encoder
In order to improve the classification accuracy of patients with autism based on the full Autism Brain Imaging Data Exchange dataset, a total of 501 subjects with autism and 553 subjects with typical control across 17 sites were involved in the study. Firstly, we applied the resting-state functional...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8808922/ |